Abstract #2095
Functional Relevance of Spatial ICA and K-means Clustering
Jun Young Jeong 1 , Julia Druzbicki 2 , Kun-Han Lu 1 , Haiguang Wen 1 , and Zhongming Liu 1,3
1
Electrical and computer engineering, Purdue
University, West Lafayette, IN, United States,
2
Department
of statistics, Purdue University, IN, United States,
3
Weldon
school of biomedical engineering, Purdue University, IN,
United States
To facilitate the functional interpretation of the
spatial patterns of resting state fMRI extracted by
using either the K-means spatial clustering or spatial
ICA, we compared them with the patterns obtained by
applying these two methods to a large set of task
activation maps. We confirmed the close correspondence
between the resting state and task activation patterns
extracted by using spatial ICA. However, we failed to
establish a similar level of correspondence for the
spatial k-means clustering. This distinction is
speculated to have a methodological basis.
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